Feature Extraction Using a Chaincoded Contour Representation of Fingerprint Images

  • Venu Govindaraju
  • Zhixin Shi
  • John Schneider
Conference paper

DOI: 10.1007/3-540-44887-X_32

Volume 2688 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Govindaraju V., Shi Z., Schneider J. (2003) Feature Extraction Using a Chaincoded Contour Representation of Fingerprint Images. In: Kittler J., Nixon M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg

Abstract

A feature extraction method using the chaincode representation of fingerprint ridge contours is presented for use by Automatic Fingerprint Identification Systems. The representation allows efficient image quality enhancement and detection of fine feature points called minutiae. Enhancement is accomplished by binarization and smoothing followed by estimation of the ridge contours field of flow. The original gray scale image is then enhanced using connected component analysis and a dynamic filtering scheme that takes advantage of the knowledge gained from the estimated direction flow of the contours. The minutiae are generated using a sophisticated ridge contour following procedure. Visual inspection of several hundred images indicates that the method is very effective.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Venu Govindaraju
    • 1
  • Zhixin Shi
    • 1
  • John Schneider
    • 2
  1. 1.Center of Excellence for Document Analysis and Recognition (CEDAR)State University of New York at BuffaloBuffaloUSA
  2. 2.Ultra-Scan CorporationAmherst, New York